{"id":3024,"date":"2023-02-15T17:56:46","date_gmt":"2023-02-15T17:56:46","guid":{"rendered":"http:\/\/blog.valuengine.com\/?p=3024"},"modified":"2023-02-15T17:58:01","modified_gmt":"2023-02-15T17:58:01","slug":"ai-etfs-and-stock-picking","status":"publish","type":"post","link":"http:\/\/blog.valuengine.com\/index.php\/ai-etfs-and-stock-picking\/","title":{"rendered":"AI, ETFs and Stock Picking"},"content":{"rendered":"

Artificial intelligence (AI), the concept that a machine created brain could outperform the human brain, has fascinated and terrified humans since the days of Jules Verne.\u00a0 Real life examples such as Deep Blue defeating Chess Grandmaster Gary Kasparov and IBM Watson defeating Ken Jennings at Jeopardy intrigues us even more.\u00a0 Machine learning techniques, expert algorithms and artificial intelligence implementations continue to evolve and be useful. There are of course investment opportunities and issues regarding this new technology that we will explore below.<\/span><\/p>\n

All 5,000 stocks, 16 sector groups, 140 industries, and 500 ETFs have been updated.<\/b><\/h5>\n
Two week free trial: <\/b>www.ValuEngine.com<\/b><\/a>\u00a0\u00a0<\/b><\/h5>\n

The latest sensation is ChatGPT.\u00a0 Trained by AI and machine learning, the system is designed to provide information and answer questions through a conversational interface.\u00a0 The AI is trained on a huge sample of text taken from the internet. <\/span>The new AI was created with a focus on ease of use.<\/span> \u201cThe dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests,\u201d the research body said in a statement last week.<\/span><\/p>\n

Early users have described the technology as an alternative to Google because it is capable of providing descriptions, answers and solutions to complex questions including ways to write code and solve layout problems and optimization queries. Real-world applications could include generating content for websites, answering customer inquiries, providing recommendations, as well as creating automated chatbots.<\/span><\/p>\n

This excitement has revitalized interest in investment opportunities through ETFs utilizing AI. There are basically two types of US ETFs involved in AI technologies. The first grouping is thematic. These are ETFs that invest in companies that produce artificial intelligence products and robotics. \u00a0 The second actually uses artificial intelligence for stock selection.\u00a0\u00a0<\/span><\/p>\n

ETFs in the thematic category include:<\/span><\/p>\n


\n<\/span>BOTZ, <\/b>Global X Robotics & Artificial Intelligence Thematic ETF (largest in AUM);\u00a0<\/span><\/p>\n

KOMP, <\/b>SPDR S&P Kensho New Economies Composite ETF (fastest growing);<\/span><\/p>\n

ARKQ, <\/b>ARK Autonomous Technology & Robotics ETF (largest active);\u00a0<\/span><\/p>\n

IRBO<\/b>, iShares Robotics and Artificial Intelligence Multisector ETF (lowest fee);<\/span><\/p>\n

ROBO<\/b>, Robo Global Robotics & Automation Index;(longest track record);<\/span><\/p>\n

ROBT, <\/b>First Trust Nasdaq Artificial Intelligence and Robotics ETF(equally weighted);<\/span><\/p>\n

LOUP<\/b>, Innovator Loup Frontier Tech ETF (smallest Avg. Market Cap.);<\/span><\/p>\n

THNQ, <\/b>Robo Global Artificial Intelligence ETF (purest AI-only play);<\/span><\/p>\n

LRNZ, <\/b>TrueShares Technology, AI & Deep Learning ETF (active)<\/span><\/p>\n

WTAI. <\/b>WisdomTree Artificial Intelligence ETF (equally weighted, active-selection).<\/span>\u00a0<\/span><\/p>\n

Current ValuEngine reports on these stocks or ETFS can be viewed <\/b>HERE<\/b><\/a><\/h5>\n

First Trust, Global X and Wisdom Tree have been among the early leaders in producing thematic ETFs since the beginning of their existence.\u00a0 iShares and SPDR are more apt to take successful themes in those ETFs and offer a lower-cast and generally broader product on that theme.\u00a0 ARK Investment management is one of the best-known providers of active ETFs in the emerging technology space. TrueShares specializes in actively managed funds selecting managers with expertise in a specific area.\u00a0 Finally, ROBO Global is a much smaller company dedicated to innovative technologies and also the first ETF Advisor in this space with <\/span>ROBO <\/b>for which they combined with longtime \u201cwhite label\u201d ETF sponsor, Exchange Traded Concepts (ETC). Eight of the 10 have $20 million or more under management.\u00a0 <\/span>LRNZ <\/b>has about $15 million and <\/span>WTAI <\/b>is under $5 Million thus far.<\/span><\/p>\n

As a lifetime quant who has designed and managed expert-systems and algorithmic and risk-optimized portfolios, I am personally even more fascinated by portfolios and ETFs actually managed using artificial intelligence.\u00a0 The concept isn\u2019t new. For example, Fidelity Investments ran one in the 1990s but obviously the technology was much more primitive and had much less data available than today as the Internet was in its infancy.\u00a0 There are also AI platform providers such as Boost.ai and ALLINDEX that facilitate AI-created portfolios that can be used for tax-managed direct indexing.\u00a0 Given this background, I\u2019m surprised not to see more AI-managed ETFs.\u00a0\u00a0<\/span><\/p>\n

Here is what we found. The leader by far in Assets Under Management (AUM) in the space with $104 Million is <\/span>AIEQ, <\/b>AI Powered Equity ETF. The next largest with just $11 Million is <\/span>AMOM, <\/b>the QRAFT AI-Enhanced U.S. Large Cap Momentum ETF. This is the largest of the three ETFs by QRAFT, a fledgling issuer exclusively in the AI-managed space.<\/span><\/p>\n

The only other ETFs in the space have scant assets thus far, including:<\/span><\/p>\n

QRFT, <\/b>QRAFT AI-Enhanced U.S. Large Cap ETF<\/span><\/p>\n

NVQ,<\/b> QRAFT AI-Enhanced U.S. Next Value ETF<\/span>,\u00a0<\/b><\/p>\n

DIP, <\/b>BTD Capital Fund<\/span><\/p>\n

AIVL, <\/b>WisdomTree U.S. AI Enhanced Value Fund.<\/span><\/p>\n

Current ValuEngine reports on these stocks or ETFS can be viewed <\/b>HERE<\/b><\/a><\/h5>\n

Of this group, only Wisdom Tree is an established sponsor of non-AI ETFs.\u00a0 In fairness, <\/span>DIP <\/b>and <\/span>AIVL <\/b>have just been introduced in 2023.\u00a0 Interestingly, the last three superimpose a value objective onto their AI systems. The result may have the machine-learning AI engine trying to reconcile various secondary objectives with its prime objective of maximizing alpha.\u00a0 At any rate, it is obvious that thus far, large investors prefer thematic ETFs that invest in companies involved in artificial intelligence and\/or robotics over AI-managed portfolio ETFs.<\/span><\/p>\n

For a comparative analysis of these ETFs, we\u2019ve selected the top three from the thematic category: <\/span>BOTZ, KOMP <\/b>and <\/span>ARKQ; <\/b>two ETFs from the AI-managed category, <\/span>AIEQ <\/b>and <\/span>AMOM<\/b>, are also included.\u00a0\u00a0<\/span><\/p>\n

Brief Profiles (sourced by ETF.com):<\/span><\/p>\n

BOTZ<\/b> provides cross- sector exposure to companies working on the development and production of robotics and artificial intelligence through a market- cap selected and weighted index. Eligible companies are listed in developed countries and must earn a significant portion of their revenue from, or have a stated business purpose in, the field of robotics or artificial intelligence. This field includes varied applications from the development of drones to healthcare robots and predictive analytics software. Viewed through traditional sector classification systems, <\/span>BOTZ<\/b> leans heavily towards industrials and technology. The index is reconstituted and rebalanced annually.\u00a0<\/span><\/p>\n

KOMP<\/b> consists of companies from developed and emerging markets that are transforming the economy. The fund’s underlying index is a composite of various S&P New Economy sub-indexes, each constructed around a theme such as autonomous vehicles, 3D printing, genetic engineering, nanotechnology. The sub-indexes themselves select constituents through a computer algorithm that scans company filings for relevant terms, selects holdings, and classifies them as \u201ccore\u201d or \u201cnon-core.\u201d KOMP\u2019s underlying composite index weights each sub-index by a proprietary risk\/return ratio. The index rebalances on a semi-annual basis.<\/span><\/p>\n

ARKQ <\/b>has a research-driven active mandate to identify companies that will benefit from new technologies and automation. The fund uses its own internal research and analysis in selecting companies that capitalize on disruptive innovation that enable development in the markets they operate.<\/span><\/p>\n

AIEQ<\/b> is actively managed by the Cal-Berkeley Haas\u2019s School of Business\u2019s version of IBM\u2019s Watson. It uses artificial intelligence to analyze and identify US stocks believed to have the highest probability of capital appreciation over the next 12 months, while exhibiting volatility similar to the overall US market. The fund selects 30 to 125 constituents and has no restrictions on the market cap of its included securities. The risk constraint tends to result in a holdings list that more closely resembles market-cap weighting than equal weighting.\u00a0\u00a0<\/span><\/p>\n

AMOM<\/b> uses a proprietary artificial intelligence (AI) security selection process that extracts patterns from analyzing data. The AI system finds a period within those 3 to 36 months that resulted in the best performance of stocks in the past and ranks those stocks by their residual returns, which are defined as \u201cits total return after removal of market, size and value risks factored into portfolio construction under conventional portfolio management.\u201d AMOM uses this metric on the stock management theory which states that stocks with higher residual returns have the potential to perform better and more consistently over time than conventional momentum stocks. The fund limits the weighting of a single security to 10% and no more than 40% of the fund\u2019s assets may be invested in securities with more than 5% weighting in the portfolio.\u00a0\u00a0<\/span><\/p>\n

Given the nature of the themes covered, we include these benchmark ETFs: tech-heavy <\/span>QQQM<\/b>, Invesco\u2019s lower-cost alternative to its <\/span>QQQ; <\/b>along with <\/span>IVV <\/b>iShares lower-cost alternative to SPDR\u2019s <\/span>SPY. <\/b>Both hold exactly the same portfolios as the older ETFs but with lower fees.<\/span><\/p>\n

Current ValuEngine reports on these stocks or ETFS can be viewed <\/b>HERE<\/b><\/a><\/h5>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/td>\n\n
BOTZ*<\/b><\/h5>\n<\/td>\n
\n
KOMP<\/b><\/h5>\n<\/td>\n
\n
ARKQ<\/b><\/h5>\n<\/td>\n
\n
AIEQ<\/b><\/h5>\n<\/td>\n
\n
AMOM*<\/b><\/h5>\n<\/td>\n
\n
QQQM<\/b><\/h5>\n<\/td>\n
\n
IVV<\/b><\/h5>\n<\/td>\n<\/tr>\n
\n
Market Index\u00a0<\/span><\/h5>\n<\/td>\n
\n
Global X Robotics & Artificial Intelligence Thematic ETF\u00a0<\/span><\/h5>\n<\/td>\n
\n
SPDR S&P Kensho New Economies Composite ETF<\/span><\/h5>\n<\/td>\n
\n
ARK Autonomous Technology & Robotics ETF<\/span><\/h5>\n<\/td>\n
\n
AI Powered Equity ETF<\/span><\/h5>\n<\/td>\n
\n
QRAFT AI-Enhanced U.S. Large Cap Momentum<\/span><\/h5>\n<\/td>\n
\n
Invesco Nasdaq 100 ETF<\/b><\/h5>\n<\/td>\n
\n
iShares S&P 500 ETF<\/b><\/h5>\n<\/td>\n<\/tr>\n
\n
Assets Under Mgmt.\u00a0\u00a0<\/b><\/h5>\n<\/td>\n
\n
1.8 Billion<\/span><\/h5>\n<\/td>\n
\n
1.7 Billion<\/span><\/h5>\n<\/td>\n
\n
971.1 Million<\/span><\/h5>\n<\/td>\n
\n
103.8 Million<\/span><\/h5>\n<\/td>\n
\n
11.7 Million<\/span><\/h5>\n<\/td>\n
\n
$7.4 Billion<\/span><\/h5>\n<\/td>\n
\n
$310 Billion<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
VE Rating<\/b><\/h5>\n<\/td>\n
\n
*<\/b><\/h5>\n<\/td>\n
\n
3<\/b><\/h5>\n<\/td>\n
\n
1<\/b><\/h5>\n<\/td>\n
\n
2<\/b><\/h5>\n<\/td>\n
\n
*<\/b><\/h5>\n<\/td>\n
\n
1<\/b><\/h5>\n<\/td>\n
\n
3<\/b><\/h5>\n<\/td>\n<\/tr>\n
\n
VE Forecast 3-mo. Price Return<\/b><\/h5>\n<\/td>\n
\n
N\/A<\/span><\/h5>\n<\/td>\n
\n
+1.32%<\/span><\/h5>\n<\/td>\n
\n
+0.69%<\/span><\/h5>\n<\/td>\n
\n
+1.16%<\/span><\/h5>\n<\/td>\n
\n
N\/A<\/span><\/h5>\n<\/td>\n
\n
-0.29%<\/span><\/h5>\n<\/td>\n
\n
+1.92%<\/b><\/h5>\n<\/td>\n<\/tr>\n
\n
VE Forecast 1-yr. Price Return<\/b><\/h5>\n<\/td>\n
\n
N\/A<\/span><\/h5>\n<\/td>\n
\n
-1.30%<\/span><\/h5>\n<\/td>\n
\n
-5.34%<\/span><\/h5>\n<\/td>\n
\n
-1.48%<\/span><\/h5>\n<\/td>\n
\n
N\/A<\/span><\/h5>\n<\/td>\n
\n
-3.48%<\/span><\/h5>\n<\/td>\n
\n
-0.83%<\/b><\/h5>\n<\/td>\n<\/tr>\n
\n
Last mo. Price Return<\/span><\/h5>\n<\/td>\n
\n
+10.40%<\/span><\/h5>\n<\/td>\n
\n
+15.80%<\/b><\/h5>\n<\/td>\n
\n
+10.08%<\/span><\/h5>\n<\/td>\n
\n
+15.08%<\/span><\/h5>\n<\/td>\n
\n
+4.44%<\/span><\/h5>\n<\/td>\n
\n
+11.48%<\/span><\/h5>\n<\/td>\n
\n
+5.01%<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Last 3 mo. Price Return<\/span><\/h5>\n<\/td>\n
\n
+24.77%<\/b><\/h5>\n<\/td>\n
\n
+12.72%<\/span><\/h5>\n<\/td>\n
\n
+5.24%<\/span><\/h5>\n<\/td>\n
\n
+7.93%<\/span><\/h5>\n<\/td>\n
\n
+18.74%<\/span><\/h5>\n<\/td>\n
\n
+14.84%<\/span><\/h5>\n<\/td>\n
\n
+9.33%<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
YTD Return\u00a0<\/span><\/h5>\n<\/td>\n
\n
+11.29%<\/span><\/h5>\n<\/td>\n
\n
+8.04%<\/span><\/h5>\n<\/td>\n
\n
10.22%<\/span><\/h5>\n<\/td>\n
\n
+9.96%<\/span><\/h5>\n<\/td>\n
\n
+3.63%<\/span><\/h5>\n<\/td>\n
\n
+13.23%<\/b><\/h5>\n<\/td>\n
\n
+6.47%<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Historic 1-Yr. Price Return\u00a0<\/span><\/h5>\n<\/td>\n
\n
-24.97%<\/span><\/h5>\n<\/td>\n
\n
-17.96%<\/span><\/h5>\n<\/td>\n
\n
+18.96%<\/span><\/h5>\n<\/td>\n
\n
-17.82%<\/span><\/h5>\n<\/td>\n
\n
-8.75%<\/b><\/h5>\n<\/td>\n
\n
-17.19%<\/span><\/h5>\n<\/td>\n
\n
-9.55%<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Historic 3-Yr Ann. Price Return<\/span><\/h5>\n<\/td>\n
\n
+0.71%<\/span><\/h5>\n<\/td>\n
\n
+5.06%<\/span><\/h5>\n<\/td>\n
\n
+4.85%<\/span><\/h5>\n<\/td>\n
\n
+2.23%<\/span><\/h5>\n<\/td>\n
\n
+8.36%<\/span><\/h5>\n<\/td>\n
\n
+10.29%<\/b><\/h5>\n<\/td>\n
\n
+8.74%<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Historic 5-Yr Ann. Price Return<\/span><\/h5>\n<\/td>\n
\n
-2.87%<\/span><\/h5>\n<\/td>\n
\n
N\/A (launched Oct. 2018)<\/span><\/h5>\n<\/td>\n
\n
+5.48%<\/span><\/h5>\n<\/td>\n
\n
+4.87%<\/span><\/h5>\n<\/td>\n
\n
N\/A (launched Nov. 2019)<\/span><\/h5>\n<\/td>\n
\n
+16.37%<\/b><\/h5>\n<\/td>\n
\n
+11.17%<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Vola<\/span>tility<\/span><\/h5>\n<\/td>\n
\n
28.9%<\/span><\/h5>\n<\/td>\n
\n
26.7%<\/span><\/h5>\n<\/td>\n
\n
30.1%<\/span><\/h5>\n<\/td>\n
\n
24.9%<\/span><\/h5>\n<\/td>\n
\n
28.6%<\/span><\/h5>\n<\/td>\n
\n
24.4%<\/span><\/h5>\n<\/td>\n
\n
18.6%<\/b><\/h5>\n<\/td>\n<\/tr>\n
\n
Sharpe Ratio\u00a0<\/span><\/h5>\n<\/td>\n
\n
0.14<\/span><\/h5>\n<\/td>\n
\n
0.36<\/b><\/h5>\n<\/td>\n
\n
0.20<\/span><\/h5>\n<\/td>\n
\n
0.13<\/span><\/h5>\n<\/td>\n
\n
0.22<\/span><\/h5>\n<\/td>\n
\n
0.32<\/span><\/h5>\n<\/td>\n
\n
0.44<\/b><\/h5>\n<\/td>\n<\/tr>\n
\n
Beta<\/span><\/h5>\n<\/td>\n
\n
1.21<\/span><\/h5>\n<\/td>\n
\n
1.18<\/span><\/h5>\n<\/td>\n
\n
1.31<\/span><\/h5>\n<\/td>\n
\n
1.19<\/span><\/h5>\n<\/td>\n
\n
0.97<\/b><\/h5>\n<\/td>\n
\n
1.19<\/span><\/h5>\n<\/td>\n
\n
1.00<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Avg. Market Cap ($ Billions)<\/span><\/h5>\n<\/td>\n
\n
59<\/span><\/h5>\n<\/td>\n
\n
50<\/span><\/h5>\n<\/td>\n
\n
84<\/span><\/h5>\n<\/td>\n
\n
32<\/span><\/h5>\n<\/td>\n
\n
108<\/span><\/h5>\n<\/td>\n
\n
765<\/b><\/h5>\n<\/td>\n
\n
417<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Largest Holding & VE Rating<\/span><\/h5>\n<\/td>\n
\n
NVDIA (NVDA)\u00a0<\/span><\/h5>\n
VE 1<\/span><\/h5>\n<\/td>\n
\n
Bruker Corp. (BRKR)\u00a0<\/span><\/h5>\n
VE 3<\/span><\/h5>\n<\/td>\n
\n
Tesla\u00a0<\/span><\/h5>\n
(TSLA)<\/span><\/h5>\n
VE 1<\/span><\/h5>\n<\/td>\n
\n
Novavax (NVAX) VE 3<\/span><\/h5>\n<\/td>\n
\n
Walmart (WMT)\u00a0<\/span><\/h5>\n
VE 3<\/span><\/h5>\n<\/td>\n
\n
Microsoft (MSFT) VE 3<\/span><\/h5>\n<\/td>\n
\n
Apple (AAPL) VE 2<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Number of Stocks<\/span><\/h5>\n<\/td>\n
\n
44<\/span><\/h5>\n<\/td>\n
\n
565<\/b><\/h5>\n<\/td>\n
\n
37<\/span><\/h5>\n<\/td>\n
\n
171<\/span><\/h5>\n<\/td>\n
\n
51<\/span><\/h5>\n<\/td>\n
\n
100<\/span><\/h5>\n<\/td>\n
\n
500<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Concentration% in Top 10 Holdings<\/span><\/h5>\n<\/td>\n
\n
68<\/span><\/h5>\n<\/td>\n
\n
12<\/b><\/h5>\n<\/td>\n
\n
63<\/span><\/h5>\n<\/td>\n
\n
34<\/span><\/h5>\n<\/td>\n
\n
36<\/span><\/h5>\n<\/td>\n
\n
54<\/span><\/h5>\n<\/td>\n
\n
27<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
# of Stocks<\/span><\/h5>\n<\/td>\n
\n
44<\/span><\/h5>\n<\/td>\n
\n
565<\/span><\/h5>\n<\/td>\n
\n
37<\/span><\/h5>\n<\/td>\n
\n
167<\/span><\/h5>\n<\/td>\n
\n
51<\/span><\/h5>\n<\/td>\n
<\/td>\n\n
500<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
% Stocks Under-<\/span>Valued by VE\u00a0<\/span><\/h5>\n<\/td>\n
\n
N\/A*<\/span><\/h5>\n<\/td>\n
\n
51<\/span><\/h5>\n<\/td>\n
\n
56<\/b><\/h5>\n<\/td>\n
\n
41<\/span><\/h5>\n<\/td>\n
\n
N\/A*<\/span><\/h5>\n<\/td>\n
\n
28<\/span><\/h5>\n<\/td>\n
\n
23<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
P\/B Ratio<\/span><\/h5>\n<\/td>\n
\n
3.9<\/span><\/h5>\n<\/td>\n
\n
2.7<\/b><\/h5>\n<\/td>\n
\n
2.7<\/b><\/h5>\n<\/td>\n
\n
3.0<\/span><\/h5>\n<\/td>\n
\n
3.6<\/span><\/h5>\n<\/td>\n
\n
6.4<\/span><\/h5>\n<\/td>\n
\n
3.8<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
P\/E Ratio<\/span><\/h5>\n<\/td>\n
\n
58.5<\/span><\/h5>\n<\/td>\n
\n
Negative<\/span><\/h5>\n<\/td>\n
\n
Negative<\/span><\/h5>\n<\/td>\n
\n
12.8<\/span><\/h5>\n<\/td>\n
\n
10.1<\/b><\/h5>\n<\/td>\n
\n
25.3<\/span><\/h5>\n<\/td>\n
\n
18.7<\/span><\/h5>\n<\/td>\n<\/tr>\n
\n
Div. Yield<\/span><\/h5>\n<\/td>\n
\n
0.8%<\/span><\/h5>\n<\/td>\n
\n
1.2%<\/span><\/h5>\n<\/td>\n
\n
1.3%<\/span><\/h5>\n<\/td>\n
\n
0.1%<\/span><\/h5>\n<\/td>\n
\n
1.3%<\/span><\/h5>\n<\/td>\n
\n
0.9%<\/span><\/h5>\n<\/td>\n
\n
1.6%<\/b><\/h5>\n<\/td>\n<\/tr>\n
\n
Expense Ratio<\/span><\/h5>\n<\/td>\n
\n
0.68%<\/span><\/h5>\n<\/td>\n
\n
0.20%<\/span><\/h5>\n<\/td>\n
\n
0.75%<\/span><\/h5>\n<\/td>\n
\n
0.75%<\/span><\/h5>\n<\/td>\n
\n
0.75%<\/span><\/h5>\n<\/td>\n
\n
0.15%<\/span><\/h5>\n<\/td>\n
\n
0.03%<\/b><\/h5>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
* VE ETF Reports <\/span><\/i>are not yet available for BOTZ and AMOM\u00a0<\/i><\/b><\/h6>\n

Analysis<\/b>\u00a0\u00a0<\/span><\/p>\n

KOM<\/b><\/p>\n

    \n
  1. Not one of the ETFs analyzed is predicted by ValuEngine to beat S&P 500 ETF <\/span>IVV <\/b>in performance during the next year. Only one, <\/span>KOMP<\/b>, is predicted to perform in line with the benchmark index. None of these ETFs are sources of income with yields all lower than that of the benchmark ETF.<\/span><\/li>\n
  2. Since the first three ETFs, all invested in AI and robotics firms, are focused on future growth, not current valuations, it is somewhat surprising to note that <\/span>KOMP <\/b>and <\/span>ARKQ <\/b>both have price\/book ratios below that of <\/span>IVV.\u00a0 <\/b>ValuEngine\u2019s valuation model also finds that more than half of the stocks held by these ETFs are undervalued. Not surprising at all is that both have negative price\/earnings ratios indicating that cumulative portfolio earnings-per-share is negative.\u00a0 This is frequently true of pioneering growth companies in their early stages.<\/span><\/li>\n
  3. In terms of concentration risk as measured by the number of holdings in the top ten, only KOMP <\/b>has less than the S&P 500 with the largest 10 of its more than 500 companies comprising just 12% of the total weight of its portfolio.\u00a0 ARKQ, known for its high-conviction selection of fewer positions (37) has the highest concentration risk.<\/li>\n
  4. Between AIEQ<\/b> and AMOM, <\/b>the two largest ETFs actually managed by AI, AIEQ <\/b>is off to a better start in 2023 but AMOM<\/b> did much better in the down market of 2022 and in the past 3-year period.\u00a0 Both have management fees of 0.75%, the same as actively managed ARKQ.\u00a0 <\/b>On an after-fee basis, AMOM <\/b>posted the best performance of the 5 ETFs studied and just below that of IVV.<\/b><\/li>\n<\/ol>\n

    Looking inside the top 10 holdings of these portfolios, we identified two strong ones getting our highest rating of 5 (Strong Buy).\u00a0 They are Aerovironment <\/span>(AVAV<\/b>) and Celsius Holdings (<\/span>CELH<\/b>).\u00a0<\/span><\/p>\n

    AVAV – <\/b>AeroVironment, Inc. designs, develops, produces, delivers, and supports a portfolio of robotic systems and related services for government agencies. It operates through four segments: Unmanned Aircraft Systems (UAS), Tactical Missile System (TMS), Medium Unmanned Aircraft Systems (MUAS), and High Altitude Pseudo-Satellite Systems (HAPS). The company was incorporated in 1971 and is headquartered in Arlington, Virginia.<\/span><\/p>\n

    CELH<\/b> – Celsius Holdings, Inc. develops, processes, markets, distributes, and sells functional drinks and liquid supplements in North America, Europe, Asia, and internationally. It offers various carbonated and non-carbonated functional energy drinks under the CELSIUS Originals name.\u00a0 The company was formerly known as Vector Ventures, Inc. Celsius Holdings, Inc. was founded in 2004 and is headquartered in Delray Beach, Florida.<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    \u00a0Ticker<\/span><\/td>\nAVAV<\/b><\/td>\nCELH<\/b><\/td>\n<\/tr>\n
    Company Name<\/span><\/td>\nAerovironment<\/b><\/td>\nCelsius Holdings<\/b><\/td>\n<\/tr>\n
    Market Cap, (Bllns.)<\/span><\/td>\n2.2<\/span><\/td>\n7.4<\/span><\/td>\n<\/tr>\n
    ValuEngine Rating<\/b><\/td>\n5<\/b><\/td>\n5<\/b><\/td>\n<\/tr>\n
    VE Forecast 1-mo. Price Return<\/b><\/td>\n+1.73%<\/span><\/td>\n+1.78%<\/b><\/td>\n<\/tr>\n
    VE Forecast 3-mo. Price Return<\/b><\/td>\n+5.36%<\/span><\/td>\n+5.55%<\/b><\/td>\n<\/tr>\n
    VE Forecast 1-yr. Price Return<\/b><\/td>\n+21.16%<\/span><\/td>\n+21.85%<\/b><\/td>\n<\/tr>\n
    Last mo. Price Return<\/span><\/td>\n-3.33%<\/span><\/td>\n-1.29%<\/b><\/td>\n<\/tr>\n
    Last 3 mo. Price Return<\/span><\/td>\n+6.40%<\/span><\/td>\n+22.58%<\/b><\/td>\n<\/tr>\n
    Last 6 mo. Price Return<\/span><\/td>\n-3.21%<\/span><\/td>\n+3.24%<\/b><\/td>\n<\/tr>\n
    Historic 1-Yr. Price Return<\/span><\/td>\n+42.71%<\/span><\/td>\n+67.70%<\/b><\/td>\n<\/tr>\n
    Historic 5-Yr Ann. Price Return<\/span><\/td>\n+10.99%<\/span><\/td>\n+57.57%<\/b><\/td>\n<\/tr>\n
    Volatility<\/span><\/td>\n45.8%<\/b><\/td>\n69.0%<\/span><\/td>\n<\/tr>\n
    Sharpe Ratio<\/span><\/td>\n0.24<\/span><\/td>\n0.83<\/b><\/td>\n<\/tr>\n
    Beta<\/span><\/td>\n0.65<\/b><\/td>\n1.68<\/span><\/td>\n<\/tr>\n
    Undervaluation Percentile<\/span><\/td>\n67<\/span><\/td>\n85<\/b><\/td>\n<\/tr>\n
    EPS Growth%<\/span><\/td>\n513.0%<\/b><\/td>\n336.4%<\/span><\/td>\n<\/tr>\n
    Price\/Earnings Growth (PEG)<\/span><\/td>\n0.31<\/b><\/td>\n0.54<\/span><\/td>\n<\/tr>\n
    P\/B Ratio<\/span><\/td>\n11.8<\/b><\/td>\n20.6<\/span><\/td>\n<\/tr>\n
    P\/E Ratio<\/span><\/td>\n160.6<\/b><\/td>\n338.5<\/span><\/td>\n<\/tr>\n
    Forward P\/E Ratio<\/span><\/td>\n26.2<\/b><\/td>\n76.5<\/span><\/td>\n<\/tr>\n
    P\/S Ratio<\/span><\/td>\n4.9<\/b><\/td>\n12.7<\/span><\/td>\n<\/tr>\n
    Div. Yield<\/span><\/td>\n0.0%<\/span><\/td>\n0.0%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Analysis<\/b><\/p>\n

      \n
    1. Both stocks have dramatically outperformed the S&P 500 Index and the Nasdaq during the past 5 years and during recent periods as well.\u00a0\u00a0<\/span><\/li>\n
    2. Both stocks show stratospheric earnings growth numbers.\u00a0 These are enough to make their PEG ratios attractive even while the other numbers are very high even when compared to the Nasdaq.\u00a0 <\/span><\/li>\n
    3. On a forward-looking basis, both AVAV<\/b> and CELH<\/b> have 1-month, 3-month and one-year price appreciation projections from VE far above those of the markets or the AI ETFs that hold them.<\/li>\n
    4. Of the two, CELH <\/b>has the superior historical performance and future projections in all the categories measured here.\u00a0 AVAV,<\/b> while still much more a growth stock than a value stock, is less overvalued by most conventional measures. But CELH <\/b>is more undervalued by the VE valuation model than AVAV.\u00a0 <\/b>Both are considered undervalued relative to their prospects.<\/li>\n<\/ol>\n
      Financial Advisory Services based on ValuEngine research available: \u00a0 <\/b>www.ValuEngineCapital.com<\/b><\/a><\/h5>\n

      Summary<\/b><\/p>\n

      Whether all the attention refocusing on artificial intelligence in recent weeks is all soon-to-be-forgotten hubbub is debatable. Investor interest is not debatable, with eight thematic ETFs that have more than 50 million dollars in assets including 3 with more than one billion AUM and a fourth just below that threshold.\u00a0 On the other hand, investors seem unconvinced about putting dollars into AI-managed ETFs with just AIEQ gaining real traction and that after nearly 10 years in the market.\u00a0\u00a0<\/span><\/p>\n

      _____________________________________________________________________<\/b><\/h5>\n
      By Herbert Blank<\/b><\/h5>\n
      Senior Quantitative Analyst, ValuEngine Inc<\/b><\/h5>\n
      www.ValuEngine.com<\/b><\/a><\/h5>\n
      support@ValuEngine.com<\/b><\/h5>\n
      All of the approximately 5,000 stocks, 16 sector groups, 140 industries, and 600 ETFs have been updated on <\/b>www.ValuEngine.com<\/b><\/a><\/h5>\n
      Financial Advisory Services based on ValuEngine research available through <\/b>ValuEngine Capital Management, LLC<\/b><\/a><\/h5>\n
      Free Two Week Trial to all 5,000 plus equities covered by ValuEngine <\/b>HERE<\/b><\/a><\/h5>\n

      Subscribers log in <\/b>HERE<\/b><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

      Artificial intelligence (AI), the concept that a machine created brain could outperform the human brain, has fascinated and terrified humans since the days of Jules Verne.\u00a0 Real life examples such as Deep Blue defeating Chess Grandmaster Gary Kasparov and IBM Watson defeating Ken Jennings at Jeopardy intrigues us even more.\u00a0 Machine learning techniques, expert algorithms … Read more<\/a><\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[130,1,39],"tags":[2138,2142,2141,2140,2156,2157,2145,2139,664,2143,2159,2155,8,2146,2158,2144,2149,2151,2154,2006,2153,2147,2148,2150,2152],"_links":{"self":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/3024"}],"collection":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/comments?post=3024"}],"version-history":[{"count":3,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/3024\/revisions"}],"predecessor-version":[{"id":3027,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/posts\/3024\/revisions\/3027"}],"wp:attachment":[{"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/media?parent=3024"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/categories?post=3024"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.valuengine.com\/index.php\/wp-json\/wp\/v2\/tags?post=3024"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}